MULTIPLICATIVE EFFECTS IN MIXED MODEL ANALYSIS OF VARIANCE

• 成果类型: Article
• 署名作者: OMAN, SD
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• 发表日期: 1991
• 页码: 729739
• 关键词: least-squares

摘要

A class of two-way mixed analysis of variance models is proposed, in which the fixed and random effects enter multiplicatively. Equations are developed for iterative computation of maximum likelihood estimates via a scoring algorithm. Parameter estimation and hypothesis testing are illustrated on a set of plant genetics data.